- Revenue
- $99.2M
- Customers
- 2K
- Year founded
- 2011
- Funding
- $237M
- Team size
- 612
Top 50 Analytics Platforms Companies With $10M–$100M Revenue (August 2026)
As of August 2026, Latka tracks 448 analytics platforms companies with $10M–$100M in annual revenue. They have combined revenues of $13B and employ 94.6K people. They have raised $17.1B and serve 1.7B customers combined.
Every company below sells analytics platforms to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Analytics Platforms Companies do
Analytics Platforms are software solutions designed to collect, manage, and analyze data to enable informed decision-making across organizations. These platforms facilitate the processing of large volumes of data, offering tools for data visualization, predictive analytics, and reporting. The primary use cases include business intelligence, performance tracking, and data-driven insights to support strategic initiatives. Typical features of Analytics Platforms include advanced analytics capabilities, data integration from various sources, self-service analytics tools, and interactive dashboards. Users can range from data analysts and business intelligence professionals to executives and operational teams, making it an essential tool for various departments such as marketing, finance, and operations. By enabling organizations to harness data effectively, these platforms play a crucial role in ensuring competitive advantage in today's data-centric environment.
- Companies
- 448
- Revenue
- $13B
- Funding
- $17.1B
- Employees
- 94.6K
Filters
Sorting: Highest -> Lowest
Top Analytics Platforms Companies With $10M–$100M Revenue
Showing 10 of 448 companies ranked by annual revenue.
- Revenue
- $99M
- Customers
- 500
- Year founded
- 2011
- Funding
- $365.7M
- Team size
- 468
- Growth
- 30.72%
Fort Lauderdale, Florida, United States
ibi™ - A global trusted leader in business intelligence, analytics, and data management solutions. Our fully-integrated platform empowers organisations to make smarter decisions, strengthen customer and supplier relationships, and drive efficiency growth. ibi solutions can be utilized together as a comprehensive solution set or separately to complement a company’s existing investments. Our modern BI approach to integrated data science allows companies to leverage their data strategies for their business needs. Headquartered in Fort Lauderdale, Florida, ibi is a proud business unit of Cloud Software Group.
- Revenue
- $98M
- Year founded
- 1975
- Team size
- 891
Bengaluru, Karnataka, India
Capillary Technologies develops customized and cloud-based customer analytics marketing platforms for retailers and consumer businesses.
- Revenue
- $95.6M
- Year founded
- 2008
- Team size
- 869
Lehi, Utah, United States
MX Technologies, Inc. is a leader in actionable intelligence, enabling financial providers and consumers to do more with financial data. MX provides end-to-end solutions for financial institutions and fintechs to connect to, understand, and act on customers’ financial data.
- Revenue
- $94.8M
- Year founded
- 2010
- Team size
- 928
- Revenue
- $94.6M
- Year founded
- 2019
- Funding
- $33M
- Team size
- 402
Marlborough, Massachusetts, United States
insurance policy and billing administration solution
- Revenue
- $93.2M
- Year founded
- 1999
- Funding
- $58.8M
- Team size
- 484
Atlanta, Georgia, United States
FullStory is a customer experience data app that captures customer experience data in one powerful and easy-to-use platform.
- Revenue
- $93M
- Customers
- 3.5K
- Year founded
- 2014
- Funding
- $172.2M
- Team size
- 560
New York City, New York, United States
Indicium is a global data services company that provides end-to-end solutions for every stage of the data lifecycle, from strategy to execution. It is a highly specialized data & AI partner that helps enterprises solve what matters now and build what comes next through deep expertise.
- Revenue
- $92.8M
- Year founded
- 2017
- Team size
- 455
Seoul, Seoul, South Korea
아이지에이웍스는 압도적인 데이터를 기반으로 디지털 전환과 데이터 드리븐 마케팅을 위한 풀스택(Full-stack) 플랫폼과 서비스를 제공하는 Data-tech 기업입니다. 기업의 1st party data를 위한 CDP(Customer Data Platform), 모바일, TV, 커머스 등 독보적인 3rd party data 제공하는 DMP(Data Management Platform), AI 기반의 데이터 드리븐 마케팅 운영을 위한 ATD(Advertiser’s trading desk) 등 클라우드 기반의 디지털 전환 및 데이터 마케팅에 관한 전방위적 비즈니스를 펼쳐나가고 있습니다.
- Revenue
- $92M
- Year founded
- 2006
- Funding
- $38.5M
- Team size
- 126
Frequently asked questions about Analytics Platforms Companies With $10M–$100M Revenue
How many analytics platforms companies with $10M–$100M in annual revenue are there?
Latka tracks 448 analytics platforms companies with $10M–$100M in annual revenue. Together they generate $13B in annual revenue and employ 94.6K people.
Which analytics platforms company with $10M–$100M in annual revenue is the largest?
Reltio is the largest, with $99.2M in annual revenue, founded in 2011.
How much revenue does a typical analytics platforms company with $10M–$100M in annual revenue make?
The average analytics platforms company in this list makes $29.1M a year, across 448 companies with reported revenue. They serve 1.7B customers combined.
Who are the leading Analytics platforms vendors with $10M–$100M in annual revenue?
Ranked by annual revenue, the leaders are Reltio, Matillion, ibi | Information Builders, Capillary Technologies and MX.
How much funding have analytics platforms companies with $10M–$100M in annual revenue raised?
The 448 analytics platforms companies with $10M–$100M in annual revenue tracked here have raised $17.1B in disclosed funding between them.
Related Analytics Tools & Software categories
Inclusion Criteria
- Must provide tools for data collection and integration from multiple sources. - Must enable advanced analytical capabilities, including predictive and prescriptive analytics. - Should offer data visualization features such as dashboards and interactive reports. - Must support self-service analytics for non-technical users. - Not solely focused on descriptive reporting; must include predictive modeling and data exploration features.